Elena Tutubalina

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 92

Top Topics

Top Venues

J. Biomed. Informatics

Publications

Vera Davydova, Natalia V. Loukachevitch, Elena Tutubalina
Overview of BioNNE Task on Biomedical Nested Named Entity Recognition at BioASQ 2024. CLEF (Working Notes) (2024)
Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin
Gradual Optimization Learning for Conformational Energy Minimization. ICLR (2024)
Rezarta Islamaj, Po-Ting Lai, Chih-Hsuan Wei, Ling Luo, Tiago Almeida, Richard A. A. Jonker, Sofia I R. Conceição, Diana F. Sousa, Cong-Phuoc Phan, Jung-Hsien Chiang, Jiru Li, Dinghao Pan, Wilailack Meesawad, Richard Tzong-Han Tsai, M. Janina Sarol, Gibong Hong, Airat Valiev, Elena Tutubalina, Shao-Man Lee, Yi-Yu Hsu, Mingjie Li, Karin Verspoor, Zhiyong Lu
The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII. Database J. Biol. Databases Curation 2024 (2024)
Vera Davydova, Huabin Yang, Elena Tutubalina
Data and models for stance and premise detection in COVID-19 tweets: Insights from the Social Media Mining for Health (SMM4H) 2022 shared task. J. Biomed. Informatics 149 (2024)
Mikhail Chaichuk, Elena Tutubalina
MMCP Team at ImageCLEFmed MEDVQA-GI 2024 Task: Diffusion Models for Text-to-Image Generation of Colonoscopy Images. CLEF (Working Notes) (2024)
Natalia V. Loukachevitch, Andrey Sakhovskiy, Elena Tutubalina
Biomedical Concept Normalization over Nested Entities with Partial UMLS Terminology in Russian. LREC/COLING (2024)
Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Igor Rozhkov, Artem Shelmanov, Elena Tutubalina, Alexey Yandutov
NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links. Lang. Resour. Evaluation 58 (2) (2024)
Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey I. Nikolenko, Elena Tutubalina, Artur Kadurin
DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials. CoRR (2024)
Veronika Ganeeva, Kuzma Khrabrov, Artur Kadurin, Andrey V. Savchenko, Elena Tutubalina
Chemical Language Models Have Problems with Chemistry: A Case Study on Molecule Captioning Task. Tiny Papers @ ICLR (2024)
Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, Martin Krallinger, Luis Gascó Sánchez, Salvador Lima-López, Eulàlia Farré, Natalia V. Loukachevitch, Vera Davydova, Elena Tutubalina
BioASQ at CLEF2024: The Twelfth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. ECIR (5) (2024)
Andrey Sakhovskiy, Elena Tutubalina
Cross-Lingual Transfer Learning in Drug-Related Information Extraction from User-Generated Texts. Program. Comput. Softw. 49 (7) (2023)
Vera Davydova, Huabin Yang, Elena Tutubalina
Data and models for stance and premise detection in COVID-19 tweets: insights from the Social Media Mining for Health (SMM4H) 2022 shared task. CoRR (2023)
Mark Rofin, Vladislav Mikhailov, Mikhail Florinsky, Andrey Kravchenko, Tatiana Shavrina, Elena Tutubalina, Daniel Karabekyan, Ekaterina Artemova
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory. EACL (2023)
Micha Livne, Zulfat Miftahutdinov, Elena Tutubalina, Maksim Kuznetsov, Daniil Polykovskiy, Annika Brundyn, Aastha Jhunjhunwala, Anthony Costa, Alex Aliper, Alex Zhavoronkov
nach0: Multimodal Natural and Chemical Languages Foundation Model. CoRR (2023)
Andrey Sakhovskiy, Natalia Semenova, Artur Kadurin, Elena Tutubalina
Graph-Enriched Biomedical Entity Representation Transformer. CLEF (2023)
Natalia V. Loukachevitch, Suresh Manandhar, Elina Baral, Igor Rozhkov, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Elena Tutubalina
NEREL-BIO: a dataset of biomedical abstracts annotated with nested named entities. Bioinform. 39 (4) (2023)
Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Manvel Avetisian, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr I. Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin
Gradual Optimization Learning for Conformational Energy Minimization. CoRR (2023)
Vera Davydova, Elena Tutubalina
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19. SMM4H@COLING (2022)
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko
DetIE: Multilingual Open Information Extraction Inspired by Object Detection. CoRR (2022)
Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko
RuCCoN: Clinical Concept Normalization in Russian. ACL (Findings) (2022)
Andrey Sakhovskiy, Elena Tutubalina
Multimodal model with text and drug embeddings for adverse drug reaction classification. J. Biomed. Informatics 135 (2022)
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko
DetIE: Multilingual Open Information Extraction Inspired by Object Detection. AAAI (2022)
Davy Weissenbacher, Juan Banda, Vera Davydova, Darryl Estrada-Zavala, Luis Gascó Sánchez, Yao Ge, Yuting Guo, Ari Z. Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Lucia Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. SMM4H@COLING (2022)
Ekaterina Artemova, Maxim Zmeev, Natalia V. Loukachevitch, Igor Rozhkov, Tatiana Batura, Vladimir Ivanov, Elena Tutubalina
RuNNE-2022 Shared Task: Recognizing Nested Named Entities. CoRR (2022)
Tatiana Shamardina, Vladislav Mikhailov, Daniil Cherniavskii, Alena Fenogenova, Marat Saidov, Anastasiya Valeeva, Tatiana Shavrina, Ivan Smurov, Elena Tutubalina, Ekaterina Artemova
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian. CoRR (2022)
Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexandr Nesterov, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking. LREC (2022)
Ilseyar Alimova, Elena Tutubalina, Sergey I. Nikolenko
Cross-Domain Limitations of Neural Models on Biomedical Relation Classification. IEEE Access 10 (2022)
Daria Bakshandaeva, Oleg Somov, Ekaterina Dmitrieva, Vera Davydova, Elena Tutubalina
PAUQ: Text-to-SQL in Russian. EMNLP (Findings) (2022)
Natalia V. Loukachevitch, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Suresh Manandhar, Artem Shelmanov, Elena Tutubalina
Entity Linking over Nested Named Entities for Russian. LREC (2022)
Elena Tutubalina, Zulfat Miftahutdinov, Vladimir Muravlev, Anastasia Shneyderman
A Comprehensive Evaluation of Biomedical Entity-centric Search. EMNLP (Industry Track) (2022)
Andrey Sakhovskiy, Elena Tutubalina
Multimodal Model with Text and Drug Embeddings for Adverse Drug Reaction Classification. CoRR (2022)
Mark Rofin, Vladislav Mikhailov, Mikhail Florinskiy, Andrey Kravchenko, Elena Tutubalina, Tatiana Shavrina, Daniel Karabekyan, Ekaterina Artemova
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory. CoRR (2022)
Natalia V. Loukachevitch, Suresh Manandhar, Elina Baral, Igor Rozhkov, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Elena Tutubalina
NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities. CoRR (2022)
Ilseyar Alimova, Elena Tutubalina
Selection of pseudo-annotated data for adverse drug reaction classification across drug groups. CoRR (2021)
Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey I. Nikolenko
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. AIST (2021)
Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. SMM4H@NAACL-HLT (2021)
Andrey Sakhovskiy, Zulfat Miftahutdinov, Elena Tutubalina
KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects. SMM4H@NAACL-HLT (2021)
Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey I. Nikolenko
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. CoRR (2021)
Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer. CoRR (2021)
Daria Bakshandaeva, Denis Dimitrov, Alex Shonenkov, Mark Potanin, Vladimir Arkhipkin, Denis Karachev, Vera Davydova, Anton Voronov, Mikhail Martynov, Natalia Semenova, Mikhail Stepnov, Elena Tutubalina, Andrey Chertok, Aleksandr Petiushko
Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021. CoRR (2021)
Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina
NEREL: A Russian Dataset with Nested Named Entities and Relations. CoRR (2021)
Arjun Magge, Elena Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova, Anne Dirkson, Suzan Verberne, Davy Weissenbacher, Graciela Gonzalez-Hernandez
DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter. J. Am. Medical Informatics Assoc. 28 (10) (2021)
Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina
Medical concept normalization in clinical trials with drug and disease representation learning. Bioinform. 37 (21) (2021)
Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer. ECIR (1) (2021)
Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey I. Nikolenko
The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews. Bioinform. 37 (2) (2021)
Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina
NEREL: A Russian Dataset with Nested Named Entities, Relations and Events. RANLP (2021)
Ilseyar Alimova, Elena Tutubalina
Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups. AIST (2021)
Vitaly Ivanin, Ekaterina Artemova, Tatiana Batura, Vladimir Ivanov, Veronika Sarkisyan, Elena Tutubalina, Ivan Smurov
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain. CoRR (2020)
Ekaterina Artemova, Tatiana Batura, Anna Golenkovskaya, Vitaly Ivanin, Vladimir Ivanov, Veronika Sarkisyan, Ivan Smurov, Elena Tutubalina
So What's the Plan? Mining Strategic Planning Documents. CoRR (2020)
Andrey V. Savchenko, Anton Alekseev, Sejeong Kwon, Elena Tutubalina, Evgeny Myasnikov, Sergey I. Nikolenko
Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements. COLING (2020)
Vitaly Ivanin, Ekaterina Artemova, Tatiana Batura, Vladimir Ivanov, Veronika Sarkisyan, Elena Tutubalina, Ivan Smurov
RuREBus: A Case Study of Joint Named Entity Recognition and Relation Extraction from E-Government Domain. AIST (2020)
Elena Tutubalina, Artur Kadurin, Zulfat Miftahutdinov
Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models. COLING (2020)
Andrey Sakhovskiy, Elena Tutubalina, Valery D. Solovyev, Marina Solnyshkina
Topic Modeling as a Method of Educational Text Structuring. DeSE (2020)
Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. WSDM (2020)
Valentin Malykh, Denis Porplenko, Elena Tutubalina
Generating Sport Summaries: A Case Study for Russian. AIST (2020)
Zulfat Miftahutdinov, Ilseyar Alimova, Elena Tutubalina
On Biomedical Named Entity Recognition: Experiments in Interlingual Transfer for Clinical and Social Media Texts. ECIR (2) (2020)
Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. CoRR (2020)
Ari Z. Klein, Ilseyar Alimova, Ivan Flores, Arjun Magge, Zulfat Miftahutdinov, Anne-Lyse Minard, Karen O'Connor, Abeed Sarker, Elena Tutubalina, Davy Weissenbacher, Graciela Gonzalez-Hernandez
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020. SMM4H@COLING (2020)
Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey I. Nikolenko
The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews. CoRR (2020)
Zulfat Miftahutdinov, Andrey Sakhovskiy, Elena Tutubalina
KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions. SMM4H@COLING (2020)
Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. J. Intell. Fuzzy Syst. 39 (2) (2020)
Ilseyar Alimova, Elena Tutubalina
Multiple features for clinical relation extraction: A machine learning approach. J. Biomed. Informatics 103 (2020)
Ilseyar Alimova, Elena Tutubalina
Comparative analysis of context representation models in the relation extraction task from biomedical texts. ITTCS (2019)
Sergey I. Nikolenko, Elena Tutubalina, Zulfat Miftahutdinov, Eugene Beloded
CommentsRadar: Dive into Unique Data on All Comments on the Web. CoRR (2019)
Zulfat Miftahutdinov, Elena Tutubalina
Deep Neural Models for Medical Concept Normalization in User-Generated Texts. ACL (2) (2019)
Ilseyar Alimova, Elena Tutubalina
Entity-level Classification of Adverse Drug Reactions: a Comparison of Neural Network Models. WNLP@ACL (2019)
Ilseyar Alimova, Elena Tutubalina
Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models. Program. Comput. Softw. 45 (8) (2019)
Nicolay Rusnachenko, Natalia V. Loukachevitch, Elena Tutubalina
Distant Supervision for Sentiment Attitude Extraction. RANLP (2019)
Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. CoRR (2019)
Zulfat Miftahutdinov, Ilseyar Alimova, Elena Tutubalina
KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue. SMM4H@ACL (2019)
Ilseyar Alimova, Elena Tutubalina
A Comparative Study on Feature Selection in Relation Extraction from Electronic Health Records. DAMDID/RCDL (2019)
Valentin Malykh, Anton Alekseev, Elena Tutubalina, Ilya Shenbin, Sergey I. Nikolenko
Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspect Extraction. AIST (2019)
Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko, Anton Alekseev, Ilya Shenbin
AspeRa: Aspect-Based Rating Prediction Based on User Reviews. WNLP@ACL (2019)
Ilseyar Alimova, Elena Tutubalina
Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks. ACL (2) (2019)
Zulfat Miftahutdinov, Elena Tutubalina
Deep Neural Models for Medical Concept Normalization in User-Generated Texts. CoRR (2019)
Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev
AspeRa: Aspect-based Rating Prediction Model. CoRR (2019)
Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev
AspeRa: Aspect-Based Rating Prediction Model. ECIR (2) (2019)
Elena Tutubalina, Ilseyar Alimova, Valery D. Solovyev
Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs. AIST (2019)
Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh
Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts. CoRR (2018)
Elena Tutubalina, Sergey I. Nikolenko
Exploring convolutional neural networks and topic models for user profiling from drug reviews. Multim. Tools Appl. 77 (4) (2018)
Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh
Medical concept normalization in social media posts with recurrent neural networks. J. Biomed. Informatics 84 (2018)
Yelena Mejova, Ekaterina Chernyak, Elena Tutubalina, Pavel Braslavski
Report on the 12th Russian Summer School in Information Retrieval (RuSSIR 2018). SIGIR Forum 52 (2) (2018)
Zulfat Miftahutdinov, Elena Tutubalina
Deep Learning for ICD Coding: Looking for Medical Concepts in Clinical Documents in English and in French. CLEF (2017)
Zulfat Miftahutdinov, Elena Tutubalina
KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks. CLEF (Working Notes) (2017)
Elena Tutubalina, Zulfat Miftahutdinov
An Encoder-Decoder Model for ICD-10 Coding of Death Certificates. CoRR (2017)
Elena Tutubalina, Sergey I. Nikolenko
Demographic Prediction Based on User Reviews about Medications. Computación y Sistemas 21 (2) (2017)
Ilseyar Alimova, Elena Tutubalina
Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning. AIST (2017)
Elena Tutubalina
Identifying Product Failures from Reviews in Noisy Data by Distant Supervision. KESW (2016)
Elena Tutubalina, Sergey I. Nikolenko
Constructing Aspect-Based Sentiment Lexicons with Topic Modeling. AIST (2016)
Elena Tutubalina
A Sentiment-Aware Topic Model for Extracting Failures from Product Reviews. TSD (2016)
Elena Tutubalina
Mining Complaints to Improve a Product: a Study about Problem Phrase Extraction from User Reviews. WSDM (2016)
Elena Tutubalina, Sergey I. Nikolenko
Automated Prediction of Demographic Information from Medical User Reviews. MIKE (2016)
Elena Tutubalina, Sergey I. Nikolenko
Inferring Sentiment-Based Priors in Topic Models. MICAI (2) (2015)
Elena Tutubalina
Dependency-Based Problem Phrase Extraction from User Reviews of Products. TSD (2015)
Elena Tutubalina
Target-Based Topic Model for Problem Phrase Extraction. ECIR (2015)
Elena Tutubalina
Clustering-based Approach to Multiword Expression Extraction and Ranking. MWE@NAACL-HLT (2015)
Elena Tutubalina, Vladimir Ivanov, Mariya Zagulova, Nikita Mingazov, Ilseyar Alimova, Valentin Malykh
Sentiment classification of reviews and twitter posts based on dictionaries. Russ. Digit. Libr. J. 18 (3-4) (2015)
Vladimir Ivanov, Elena Tutubalina
Clause-Based Approach to Extracting Problem Phrases from User Reviews of Products. AIST (2014)